摘要
Abstract
A scientifically sound layout design was critically important for an aerospace manufac-turing facility whose survival largely depended on low production costs and high-quality products . The case of layout design of an integrated machining facility ,which produces gears and housings for drive system on civil aero-engine ,was taken as an example .Complying with the general prin-ciples for facility layout ,with annual output of gears and housings ,processing technic and area requirements for single process were taken as inputs for design ,the basic layout plan was de-signed and optimized via hybrid genetic algorithm which was constructed by combining the genetic algorithm and simulated annealing algorithm .Meanwhile ,the constraints of each processing u-nit ,brought into being by the characteristics of each processing technics ,were also considered , which was achieved by fixing specific function zones upon certain locations of a genetic string compulsively .When the optimization of a layout plan was finished ,it was modeled based on Plant Simulation .And then the performance of the plan was comprehensively evaluated according to a few key performance factors ,such as output rate ,equipment utilization rate ,storage of semi-fin-ished articles and robustness of production line . The results showed that the optimized layout could meet the output demands ,the loads of key equipment were basically balanced and low level of storage of semi-finished articles was maintained .Hence ,the combined utilization of hybrid ge-netic optimization and discrete event simulation can make the effective ocular solution for produc-tion facility layout problems .Also ,the advantages and disadvantages can be thoroughly assessed via the key performance factors which are obtained through discrete event simulation .关键词
生产系统/设施布局/混合遗传算法/Plant SimulationKey words
production system/layout design/hybrid genetic algorithm/Plant Simulation分类
航空航天
